SEO & AI Search Visibility / AI & LLM Visibility Tracking
Know what AI tells your customers — every month, in writing.
AI assistants and AI search answer questions about your market every day, and the answers change without notice. Visibility tracking is the monthly habit of asking those questions systematically, recording the answers, and turning what changed into a to-do list.
What's included in AI & LLM Visibility Tracking
A question battery built for your market
Generic tracking asks generic questions. We build a battery from what your buyers actually ask — best-in-category, near-me, comparisons, is-this-worth-it — and lock it so every month measures the same thing. That's what makes movement real instead of noise.
What ships
- Custom question set covering your services, areas, and buyer stages
- Locked methodology so month-over-month comparison holds
- New questions added as your market's language shifts
Monthly testing across the engines
Every month, the full battery runs across the surfaces that matter: ChatGPT, Gemini, Perplexity, and Google's AI Overviews. Every answer is recorded — not summarized from memory — so you can read exactly what a customer would have been told.
What ships
- Full monthly run across major assistants and AI search
- Archived transcripts of every answer, every month
- Mention tracking: where you appeared, where you didn't
Competitor benchmarks
Being absent from an answer matters more when you can see who took your seat. We track the same questions for your named competitors, so the report shows the race, not just your lane.
What ships
- Competitor mention tracking on the same question battery
- Share-of-answer comparison across engines
- Alerts when a competitor newly enters answers you care about
Accuracy monitoring
AI answers don't just omit businesses — they get them wrong. Old addresses, dead phone numbers, services you stopped offering, prices from three years ago. We flag every factual error in how the engines describe you, because a wrong answer can cost more than no answer.
What ships
- Error log: every wrong fact in every answer about your business
- Source tracing — where each wrong fact likely came from
- Fix routing so corrections actually get made, not just noted
A report you can act on
The deliverable is a plain-English monthly report: what changed, what it means, and what we're doing about it. Wins, losses, errors, competitor moves — each tied to a next action with an owner and a reason.
What ships
- Monthly plain-English visibility report
- Trend view: your presence across engines over time
- Prioritized action list feeding the next month's work
How it works
Build the battery
We work out the questions your buyers ask, in their words, and lock the methodology. You see the full list before the first run — if a question doesn't match how customers really talk, we fix it now.
Run and record
The battery runs monthly across every engine in scope. Answers are archived in full, mentions and errors are logged, and competitor results are captured on the same pass.
Report and route
You get the report; the action list gets worked. Tracking alone doesn't move answers — it tells you precisely where the optimization effort should go next, and proves whether last month's effort landed.
Why Spec Social for AI visibility tracking
Most AI visibility reports are screenshots and vibes — one prompt, one day, one engine. Ours is a locked methodology run the same way every month, with archived transcripts you can read yourself. That's the difference between a demo and a measurement.
Tracking is also worth more attached to hands. Because we run the optimization side too — GEO, LLM SEO, content, listings — every error and gap the tracking finds becomes a work item the same month, not a finding that ages in a slide deck.
And we report in the language of decisions, not dashboards. You shouldn't need to learn a tool to know whether AI search is sending you customers or sending them elsewhere.
Pricing
AI visibility tracking is included in retainers from $2,500 a month — the question battery is scoped to your market on the discovery call.
- Month to month.
- First full tracking run in your first month.
- Every transcript and report is yours to keep.
Questions, answered.
What does AI visibility tracking actually measure?
Whether — and how — your business appears when AI assistants and AI search answer the questions your buyers ask. Each month we run a fixed set of those questions across ChatGPT, Gemini, Perplexity, and Google's AI Overviews, then log mentions, descriptions, factual errors, and which competitors appear where you don't.
Why does it need to run monthly?
Because the answers move. Models update, live sources change, and competitors start optimizing — an answer that named you in March can drop you in May without anything changing on your side. Monthly runs catch shifts while they're fresh, and they're the only honest way to prove whether optimization work is landing.
Is tracking useful without optimization?
It's useful the way a scale is useful — it measures, it doesn't change anything. Tracking tells you where you stand and where the gaps are; closing them takes the optimization work (GEO, LLM SEO, source cleanup). Most clients run both under one retainer so findings turn into fixes the same month. Tracking alone makes sense mainly when you want evidence before committing.
Which AI engines do you track?
The defaults are ChatGPT, Gemini, Perplexity, and Google's AI Overviews — the surfaces where buying-intent questions actually get asked today. The set is adjusted to your market and updated as new engines earn real usage, so you're tracking where your customers are, not a logo wall.
Can you track my competitors too?
Yes — competitor benchmarking is built in, not an add-on. The same question battery logs which competitors get named, how they're described, and when they newly enter or drop out of answers. Knowing who holds the seat you want is usually the most motivating page of the report.
How much does AI visibility tracking cost?
It's included in Spec Social retainers, which start at $2,500 a month. The exact number depends on the size of the question battery, how many engines and competitors we're tracking, and what optimization work runs alongside it — you'll have it by the end of the discovery call.